Web3 Marketing Pro - Elevating startups with strategic social presence & community growth | Click the link below to amplify your brand or build a thriving community!

I help Web3 and tech brands go from ignored to unforgettable.

Most businesses struggle with:
❌ Social channels that feel dead
❌ Communities that don’t grow
❌ Branding that blends in, not stands out
❌ Teams with ideas but no bandwidth to execute

That’s where I come in. At Altcoin Edge (ACE), we specialize in:
✅ Growing engaged communities in Web2 + Web3
✅ Scaling socials with content that converts attention into users
✅ Building brands that investors and VCs notice
✅ Executing campaigns that actually deliver ROI

Proof?

4,000% user growth & 1,600% social growth for a Web3 client.

Helped brands attract VC attention through community traction.

Backed by experience at a FTSE 100 company + campaigns across blockchain, NFT infra, and security.


What others say:
“ACE is a catalyst… they elevated our reach to game-changing altitudes.” – CEO, Web3 Security Firm
“They blend flexibility, insights, and value. Highly recommended.” – CMO, NFT Infrastructure

👉 If you’re a founder who wants to turn your brand into a movement, DM me here or visit altcoinedge.com.

Robin van den Heuvel

"Let's touchbase on February one last time"

AI & Web3 marketing strategist | Helping you 10x with AI tools, smarter marketing & personal brand | Join the level-up journey

The best financial AI tool on GitHub is unusable for 95% of investors.

16,100 GitHub stars. 

Zero mainstream adoption.

Multi-model AI. Browser scraping. Fully customizable.

Also requires cloning a repo, configuring 3-5 API keys, and being comfortable in a terminal.

That's not a tool. That's a project.

I looked at it and thought: what about everyone else?

The analyst who needs a DCF before a client call. The retail investor who doesn't know what Bun runtime is. The person who just wants the answer.

So I built Atlantis 

Sign up. Type your question. Get institutional-grade research with Claude, Perplexity, and Grok... in one query.

Zero setup. Predictable pricing. Works on your phone.

The best tool isn't the most powerful one.

It's the one people actually use.

Link in comments 📌

AI is changing how people find products, tools, and experts. SEO alone isn't enough anymore. 

In this live session, Robin Lim & Robin van den Heuvel  break down what it actually takes to show up in ChatGPT, Perplexity AI and Claude .

Secure your seat:

Mohamad Soud, Rayme Carl Plaaitjies and 53 other attendees

Market in public: How to show up in AI search in 2026  

Sometimes a gap in the market has a reason

I had 944 unreplied messages. 1,369 dead groups. 840 relationships gone cold.

So I built a Telegram app to fix it.

It works perfectly. I use it daily.

But Telegram app store rejected it twice. 

Not only do users feared sharing their phone number. Even Telegram doesn't trust third-party login flows with it. But you need it for the app to work.

The gap exists because the moat is psychological, not technical.

Here's the twist:

I found a native login flow that never asks for your phone number. 
Fully within Telegram's own logic. No scary permissions. No exposure.

Gap still there. Reason solved. I'm asking Telegram if this suits rn.

Update coming soon.

undefined undefined

Accelerating Web3 with marketing and consultancy services that are impactful and effective.

www.thealtcoinedge.com

Co-Founder

Leading Marketing for Web3 Gaming Project (Metarush) at Myria L2 Blockchain

Marketing Lead

As a Lead Mentor at Techstars, I bring my Web3 marketing expertise, strategic thinking, and diverse industry experience to help startups unlock their full potential and build a successful brand story.

Lead Mentor

Senior Propositions & Promotions Manager

Responsible for creating and deploying new promotions, managing the promotions calendar, and managing the poker promotional budget.

Manage activities with the focus on engaging players, supporting acquisition activity, supporting poker events, and supporting the product roadmap

Work with the relevant marketing / product and CRM production teams to ensure smooth execution of campaigns which can be analyzed to prove value added.

Deliver best-in-class CRM promotions with player engagement close to heart to maximize customer value and customer satisfaction.

CRM Promotions & Planning Manager

Define and manage the Poker proposition & strategy within each region and brand, for the group’s Sports Labels. 

Develop, own, and manage a wide range of Poker Marketing projects with overall ownership and management of Poker marketing budget. 

Work with the relevant teams to ensure a smooth cross-sell strategy which can be analysed to prove value added. 

Work closely with the internal Product teams, to confirm their road maps for Content and Platform reflect our Marketing requirements, whilst ensuring they are launched and marketed in a ground-breaking manner.

Marketing Manager Poker

Responsible for leading a team of Marketing professionals and creating resourcing, prioritization and support for the key programmes. 

Deliver Poker and Bingo active customer and revenue goals by understanding the base, customer motivation, needs and insights to create a comprehensive marketing strategy across brand product portfolio in a market to maximise the product share. 

Assume direct executional responsibility for a product within the Bingo and Poker portfolio.

Marketing Strategy Team Lead (Poker and Bingo)

Responsible for delivering Poker active customer and revenue goals. 

Create a comprehensive marketing strategy across brand product portfolio in a market to
maximise the Poker share. 

Develop global Poker marketing campaigns, promotions and events strategy. 

Manage the global promotional bonus budget for Poker and ensure strong ROI in line with business objectives.

Poker Marketing Strategy Manager

Create and deliver specific quality promotions for local markets. 

Work closely together with local CRM, local affiliate and marketing teams to tailor promotional
content and design promotions relevant to the local market. 

Increase the active players and revenue in specific local markets. 

Responsibility over the design and creation of the full tournament schedule to increase tournament liquidity and meet customer demands.

Poker Promotions Manager

Supporting, developing and measuring quality promotions.

Working both on the commercial and product side of the business and act as key liaison between departments to help grow Unibet Poker. 

Find innovative ways to increase active player days, reactivation and revenue across multiple segments

Poker Operations Executive

Bearhugpoker is a boutique financing, training and mentoring firm exclusively supporting professional on-line MTT players based in Europe.

Managing and coaching other poker players on multiple aspects necessary to play poker professionally and profitably. 

In the area of game strategy, mental game, peak performance and life-style to increase the ROI for the firm and the efficiency of the poker players. 

Advise on recruiting new players and the work relationships with existing players.

Poker Coach and Poker Player

Player

Full-time professional poker player
Sharkstaking was a financing and coaching organization for profitable cash game and
SNG poker players. As player I managed to play profitably poker for the organization.

Poker Player

Web3 & Vibe Marketing Pro - AI Vibe Coding Specialist | Elevating Startups with Strategic Social Presence, Community Growth & AI Automation for Content Creation

Dutch

English

Marketing changed while marketers were arguing about tools

I needed to show a client's BTC yield product in a way that actually lands

Not another explainer. Not a thread. A tool.

So I built 👉 btcyieldcalculator.com.

1. Pick your start date. 
2. Enter your BTC. 
3. Set the yield %. 

Watch what you missed.

No dev team. No Webflow. No sprint planning.
Just vibecoding and a morning coffee.

It shows unrealized yield, ATH comparisons, real dollar amounts.

That's not a calculator. That's an emotional gut punch disguised as a widget.

Six months ago this costs $5K and three weeks.

Now? a couple of days max.

Marketers don't need bigger budgets anymore.

They need bigger ideas & someone to execute on it. 

IXS understands that. I thank them for having an AI native mindset.

The ones who build the demo before the meeting won't need the pitch deck.

Remember that. 

PS: Did you miss out? Check it out here: www.btcyieldcalculator.com

Most marketers talk about AI

These two are actually building with it

Robin Lim and I have been stress-testing AI-native marketing systems for the past year

Not theory. Not frameworks stolen from Twitter threads.

Real experiments. Real failures. Real results.

Our first live session breaks down something many wonder:

How to get cited by AI systems, not just ranked by Google

SEO isn't dead

But if you're only optimizing for search engines, you're optimizing for yesterday

AI search is rewriting discovery from scratch

And many marketers haven't noticed yet

Market in Public is where we show the work

Come build with us.

Make sure to attend it on February 25.

Building full stack marketing AI | 3x founder

🐥🐥 The Robins are teaming up.

Robin van den Heuvel and I are both builders and marketers who’ve worked across traditional industries and emerging tech startups. Over the past year, we’ve been deep in the trenches, experimenting, building, and stress-testing AI-native marketing systems across the entire funnel.

Actually testing what works, what fails, and what can realistically scale.

Market in Public is our live hangout session where we unpack what we’re learning in real time as AI-native marketing matures.

Expect:
A bit of theory
A lot of live building
Real troubleshooting
Honest breakdowns of what didn’t work
Experiments you can apply immediately

In our first live session, we’ll walk through real challenges we faced this week around AI search visibility, show how we approached them, and experiment together in real time.

You’ll see exactly how we think about:
1. What GEO and AEO actually mean
2. Why SEO isn’t dead, but isn’t enough
3. How startups, solopreneurs and SMBs can compete with incumbents in AI search
4. How to structure content to get cited by AI systems

If you’re a founder, operator, or marketer trying to navigate the accelerating shift toward AI-native discovery, this is for you.

#ainativemarketing #aimarketing #marketingai #AIGTM #AInative
axy.digital

Eka de Graaff, Matthew Balch and 16 other attendees

Market in public: How to show up in AI search in 2026

NotebookLM can't read X links

Can't read public Notion pages

NotebookLM can't read X links.=

Can't read Medium

Can't read public Notion pages

You paste the URL. It breaks. 

You give up and copy-paste manually like it's 2015

There's a tool that fixes this

It converts these URL into clean, readable URLs or PDFs your LLM can actually process

Paste link → get link or pdf → upload → done

30 seconds instead of 20 minutes of formatting hell

I use it every time I'm building a research notebook from scattered sources across the web

Most people don't know this exists

Now you do.

[Tool link in comments]

Most SEOs are still whispering sweet nothings to ten blue links.

Meanwhile, AI Overviews already answer the question before anyone scrolls

Check this out:

Google's index still matters. 
But it's no longer the destination. 
It's the supply chain.

The winning play in 2026 isn't ranking. 
It's being the source AI cites.

That means atomic answers under question-style headers. 
High fact density. 
Inverted-pyramid structure. 
Being quotable in 40 words or less.

Traditional SEO got you to the dance. GEO gets you on stage.

We're breaking down exactly how to make this shift live.

AI-native marketing strategies. Real frameworks. No fluff.

Join us Wednesday👇 

https://lnkd.in/e4Q8U2Gk

I vibecoded a schema audit tool this weekend.

SchemaSnap scans any URL, finds missing structured data, and spits out ready-to-paste JSON-LD code for AI search visibility.

Because here's the truth most SEOs won't say:

Google still rewards backlinks. AI search rewards structure.

If your content isn't schema-tagged correctly, you're invisible to ChatGPT, Perplexity and every AI answer engine that's eating your traffic right now.

That's what AI-native marketing looks like in 2026.

Come see it live today — Robin Lim is also demoing her new AI visibility feature 👇

https://lnkd.in/e4Q8U2Gk

Google rankings are yesterday’s scoreboard

The real fight is happening inside ChatGPT, Perplexity AI & Gemini

Backlinks don’t win there :(

Narrative architecture does :)

Tomorrow I’m going live with Robin Lim 🐥 

We’re calling it Market in Public

No slides

No recycled frameworks

Just live teardown of how to engineer AI visibility while everyone else is still “optimizing blogs.”

If you’re still treating AI as a content tool instead of a discovery layer, you’re compounding the wrong asset!

Join us: https://lnkd.in/eP9rnBPR

In 4 hours we're live.

Market in Public - Robin Lim and I are building in real time

If you're still optimizing for Google and wondering why AI systems aren't citing you.. today's session is the answer.

We're covering GEO, AEO, and exactly how to structure content so AI finds you first.

Founders. Operators. Marketers.

See you there.

https://lnkd.in/ePRNCheZ

Bas van der Geld, Robin Lim and 1 other attendee

Market in Public Hangout: How to show up in AI Search

Your next customer won't Google you

They'll send an agent to evaluate you instead

By 2028, Gartner estimates 90% of B2B buying will be mediated by AI agents. $15 trillion moving through invisible exchanges before a human ever clicks anything.

Most marketers are still optimizing for blue links

The infrastructure already moved

GEO isn't SEO with a rebrand. It's a different game entirely. LLMs don't rank you; they cite you. Or they don't. 

Machine-readability, semantic authority, forum presence, podcast mentions. That's the new stack.

If an AI agent can't read your brand, you don't exist to it

The funnel is invisible now. The buyers aren't human yet.

Time to learn the new rules

Join us live 👇 

Market in Public – How to Show Up in AI Search
https://lnkd.in/evfbpEtF

Helping growing companies with human-centered AI solutions for improved efficiency.

Starting a (AI) project is easier said than done.

➜ (You need to understand what AI can do for your organisation)
➜ You need to align with colleagues. 
➜ You need to gather input and feedback. 
➜ You need to know your next steps to get things moving.

And that’s without even mentioning all the different possibilities, as well as the doubts and confusion that AI brings.

I’ve been active in software product development for years and have had the chance to fill various roles in the process. I’ve upskilled from a software developer to a functional and business analyst, and eventually to a scrum master, project manager, and AI advisor.

After more than 7 years of bridging the gap between business and IT, the conclusion was clear...

Starting and successfully completing projects is no easy task.

The rise of AI has created new opportunities, but also new challenges. Many companies know they want to do something with AI but have no clear idea of where to start or how AI can improve their business processes.

And that’s exactly where I focus as an "AI business architect." Starting and bringing AI projects to a successful conclusion.

I help companies on their "AI journey."

➜ From idea to implementation. 
➜ From ambition to adoption. 

My primary focus is on the business side:

• Developing an AI strategy aligned with other business goals 
• Listing all AI opportunities within the company 
• Assessing whether AI is the answer to the problem we want to solve or the goal we want to achieve 
• Building an AI business case 
• Training and adoption processes 
• ...

All of this is done in close collaboration with the company’s employees, without losing the company’s identity.

At ID Volk, I use the tools and techniques I’ve learned to help companies successfully start and deliver their AI projects. From idea to innovation.

Michiel Hauwaert

Most companies say they are “implementing AI.”

But when you look closer…

They’re mixing up MCP, RAG, and AI Agents
as if they’re the same thing.

They’re not.

And this confusion is exactly why
many AI initiatives stall.

When I work with growing companies,
the first step is always clarity.

Because these three concepts
solve very different leadership problems.

Here’s the simplest way to think about it:

1. MCP — Access

Think of MCP as the universal connector.

It allows AI models to securely interact with tools:

• Databases
• Internal systems
• APIs
• Files

Instead of building custom integrations for every tool,
MCP standardizes how AI accesses them.

It’s infrastructure.

Quiet, but essential.

2. RAG — Knowledge

RAG helps AI use your company’s knowledge.

Instead of relying only on training data,
the AI retrieves relevant information in real time from:

• documents
• knowledge bases
• internal data
• code repositories

This makes AI responses:

• more accurate
• more contextual
• less hallucination-prone

RAG turns AI from a generic assistant
into a domain-aware partner.

3. AI Agents — Action

Agents are where AI moves from
thinking → doing.

An AI Agent can:

• decide next steps
• call APIs
• interact with systems
• complete tasks autonomously

Instead of answering questions,
agents execute workflows.

That’s where real efficiency gains appear.

The leadership insight is this:

AI maturity is not about buying tools.

It’s about understanding how these layers work together.

→ MCP connects systems
→ RAG provides knowledge
→ Agents drive execution

When aligned properly,
AI stops being a demo.

It becomes an operational capability.

And the companies that understand this early
will build a serious advantage.

Many founders believe strength means doing everything alone.

Make every decision.
Solve every problem.
Carry all the pressure.

For a long time, that’s how leadership looked.

But the rise of AI is quietly changing that idea.

Because today, capability isn’t only about how much you can do.

It’s about how well you work with intelligence beyond yourself.

AI is becoming the new collaborator.

Not replacing founders.
But expanding what they’re capable of.

Entrepreneurship is slowly shifting from solo execution
to augmented leadership.

And founders who understand this early gain a powerful advantage.

Here are five leadership reflections founders are beginning to learn in the AI era.

1. Clarity matters even more when intelligence scales

AI can accelerate execution.

But without clear direction, it simply produces more noise.

Founders who define the problem well
get exponentially better output.

Because AI amplifies clarity.

2. Better questions create better outcomes

Leadership in the AI era isn’t just about answers.

It’s about asking the right questions.

The quality of prompts, frameworks, and thinking
often determines the quality of results.

Founders who learn to guide AI well
unlock far more value.

3. Speed increases, but judgment becomes critical

AI can produce ideas, drafts, strategies, and analysis instantly.

But discernment still belongs to the human leader.

The real skill becomes knowing:

→ what to trust
→ what to refine
→ what to discard

Execution accelerates.
Judgment becomes the differentiator.

4. AI expands capability, not leadership

AI can assist with strategy, research, content, and systems.

But it cannot replace:

→ vision
→ values
→ long-term thinking
→ responsibility for decisions

Technology amplifies leadership.

It doesn’t replace it.

5. The founders who win will collaborate with intelligence

The next generation of entrepreneurs won’t succeed by doing everything alone.

They’ll succeed by building systems of intelligence around them.

Human insight.
Team capability.
AI leverage.

Together.

Because the future of entrepreneurship
isn’t solo effort.

It’s augmented leadership.

Where founders who combine human judgment with AI capability
create momentum that neither could produce alone.

AI isn’t magic.
It’s architecture.

Many people still think of AI as a single tool.

But the real difference lies in how the system is designed.

The architecture behind AI determines
how it behaves, how it learns,
and how useful it becomes over time.

Recently, I came across a great breakdown by Luís Rodrigues that highlights three important AI architectures shaping where things are heading.

Here’s a simplified perspective.

1️⃣ Traditional AI — Fixed Intelligence

This is the classic model most organisations started with.

You train a system on a dataset
to perform a specific task.

Examples include:

• Fraud detection
• Image recognition
• Demand forecasting

These systems can be extremely accurate.

But they are static.

They only know what they were trained to know.

When conditions change, the model often needs to be retrained from scratch.

2️⃣ Agentic AI — Goal-Oriented Systems

The shift now is moving from task execution to goal achievement.

Instead of giving the AI detailed instructions,
you give it an objective.

The system then:

• Plans the steps
• Uses tools (search, APIs, databases)
• Executes actions
• Evaluates results

Agentic AI introduces autonomy.

The system doesn’t just respond it decides how to act.

However, without reliable information sources, these systems can still hallucinate.

3️⃣ Agentic RAG — Intelligence With Context

RAG (Retrieval-Augmented Generation) connects AI systems to live data sources.

Instead of relying purely on training data, the system retrieves relevant information in real time.

When combined with agentic workflows, the AI can:

• Take action
• Retrieve relevant knowledge
• Reason through the problem
• Store outcomes for future use

This introduces something closer to operational memory.

The system doesn't just answer questions it improves through interaction.

Where things are heading

The most powerful systems today combine all three.

Traditional AI → prediction from historical data
Agentic AI → autonomous planning and action
RAG → grounding responses in real information

Together, they create systems that are predictive, adaptive, and autonomous.

Credit to Luís Rodrigues for the original framework that inspired this breakdown.

If you're exploring how AI agents and workflows are reshaping businesses, his insights are worth following Michiel

♻️ Repost if this helped clarify the AI landscape.

AI is slim, maar het kan geen gedachten lezen..
De simpelste manier om betere resultaten te krijgen met AI...

voorbeelden toevoegen aan je prompts.

Je zal zien, de output wordt direct een pak relevanter!


Volg mij voor meer tips en tricks om efficiënter te werken met AI

It’s 2026. And many companies are realizing something uncomfortable about AI.

The problem was never the technology.
It was how they tried to adopt it.

Look back at how most organizations approached AI.

2025 looked like this:

→ AI projects with no business goal
→ Experiments disconnected from KPIs

→ Impressive demos
→ Nothing reaching production

→ Tools outside workflows
→ Employees ignoring them

→ Leadership confusion
→ No clear ownership

→ Security teams slowing everything
→ Governance arriving too late

→ Budgets increasing
→ Value still unclear

→ Employees resisting AI
→ Because it felt like a threat

Not a tool.

Now the companies winning in 2026 are doing something different.

They stopped experimenting.
They started operationalising AI.

The shift looks like this:

✓ AI tied directly to business outcomes

✓ Data treated like a product

✓ AI embedded inside daily workflows

✓ Teams combining domain + tech + risk

✓ Governance from day one

✓ Clear ownership and accountability

✓ AI measured by cost per task

✓ AI supported with training and incentives

In short:

2025 was about trying AI.
2026 is about running businesses with AI.

And the companies pulling ahead right now?

They don’t necessarily have the best AI.
They have the best AI execution.

So the real question leaders should ask themselves today:

Are we still experimenting with AI…
Or have we actually built an AI operating model?

Your meeting notes are killing productivity.

These 6 prompts turn chaos into clarity...

Most teams leave meetings with scattered thoughts and zero accountability.

Action items get lost in paragraphs. Deadlines stay vague. Owners stay unclear.

The result? Nothing moves forward.

But the right prompts transform rambling notes into executable task lists in seconds.

Here are 6 prompts to turn meeting notes into action:

1. The Extractor
Pull all action items with owners and dates.

2. The Prioritizer
Rank tasks by urgency and impact level.

3. The Clarifier
Rewrite vague commitments into specific next steps.

4. The Deadline Setter
Assign realistic timelines based on task complexity.

5. The Owner Finder
Identify who should own each unassigned task.

6. The Follow-Up Builder
Generate check-in reminders for each deliverable.

This isn't about replacing good meeting discipline.

It's about building leverage so your team spends less time decoding notes and more time executing.

The best operators turn every conversation into forward motion.

♻️ Repost this if your meeting notes need better structure.
➡️ Follow Michiel Hauwaert for prompts that turn AI into your productivity engine.

taplio

The Battle

Robin van den Heuvel

Michiel Hauwaert

Followers

Posts

Engagements

Likes

Performance ScoreRobin van den Heuvel's LinkedIn Performance

Performance ScoreMichiel Hauwaert's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Robin van den Heuvel

Michiel Hauwaert

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Robin van den Heuvel's LinkedIn Performance

Performance ScoreMichiel Hauwaert's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreRobin van den Heuvel's LinkedIn Performance